Michael W. Hughes

3.4k total citations
39 papers, 1.9k citations indexed

About

Michael W. Hughes is a scholar working on Molecular Biology, Urology and Cell Biology. According to data from OpenAlex, Michael W. Hughes has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Urology and 15 papers in Cell Biology. Recurrent topics in Michael W. Hughes's work include Hair Growth and Disorders (14 papers), Skin and Cellular Biology Research (10 papers) and Wound Healing and Treatments (10 papers). Michael W. Hughes is often cited by papers focused on Hair Growth and Disorders (14 papers), Skin and Cellular Biology Research (10 papers) and Wound Healing and Treatments (10 papers). Michael W. Hughes collaborates with scholars based in United States, Taiwan and China. Michael W. Hughes's co-authors include Cheng‐Ming Chuong, W.L. Garner, Huayang Wu, Randall B. Widelitz, Tai‐Lan Tuan, Maksim V. Plikus, Sanong Suksaweang, Ping Wu, Ting-Xin Jiang and Hans I‐Chen Harn and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Michael W. Hughes

35 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael W. Hughes United States 19 686 458 428 378 323 39 1.9k
Ying Zheng China 20 863 1.3× 380 0.8× 1.1k 2.5× 381 1.0× 324 1.0× 54 2.4k
Nicolae Mirancea Romania 23 659 1.0× 606 1.3× 166 0.4× 421 1.1× 333 1.0× 39 2.0k
Makoto Takeo Japan 17 665 1.0× 579 1.3× 582 1.4× 550 1.5× 445 1.4× 22 1.8k
Jürgen Brinckmann Germany 27 922 1.3× 438 1.0× 178 0.4× 366 1.0× 356 1.1× 65 2.8k
Viljar Jaks Estonia 21 1.5k 2.2× 521 1.1× 668 1.6× 312 0.8× 487 1.5× 48 2.8k
Anne M. Hocking United States 23 1.4k 2.0× 621 1.4× 232 0.5× 888 2.3× 217 0.7× 40 3.2k
Atsushi Hatamochi Japan 26 966 1.4× 547 1.2× 130 0.3× 175 0.5× 499 1.5× 121 2.6k
Alessandra Marconi Italy 31 843 1.2× 469 1.0× 138 0.3× 326 0.9× 414 1.3× 79 2.7k
J. Michael Sorrell United States 26 989 1.4× 1.1k 2.4× 164 0.4× 497 1.3× 356 1.1× 49 2.6k
James D. Zieske United States 52 1.6k 2.3× 722 1.6× 142 0.3× 481 1.3× 134 0.4× 116 7.1k

Countries citing papers authored by Michael W. Hughes

Since Specialization
Citations

This map shows the geographic impact of Michael W. Hughes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael W. Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Hughes more than expected).

Fields of papers citing papers by Michael W. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Hughes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael W. Hughes. The network helps show where Michael W. Hughes may publish in the future.

Co-authorship network of co-authors of Michael W. Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Hughes. A scholar is included among the top collaborators of Michael W. Hughes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael W. Hughes. Michael W. Hughes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Tzu‐Yu, et al.. (2025). Histological characterization of γδ T cells in cutaneous wound healing in Fraser's dolphins (Lagenodelphis hosei). Developmental & Comparative Immunology. 163. 105326–105326.
2.
Ding, Li-Yun, Chih‐Han Chang, Hsin‐Yi Wu, et al.. (2024). Stromal Rigidity Stress Accelerates Pancreatic Intraepithelial Neoplasia Progression and Chromosomal Instability via Nuclear Protein Tyrosine Kinase 2 Localization. American Journal Of Pathology. 194(7). 1346–1373. 2 indexed citations
3.
Liu, Tzu‐Yu, Michael W. Hughes, Hao‐Ven Wang, et al.. (2023). Molecular and Cellular Characterization of Avian Reticulate Scales Implies the Evo–Devo Novelty of Skin Appendages in Foot Sole. Journal of Developmental Biology. 11(3). 30–30. 4 indexed citations
4.
Hughes, Michael W., et al.. (2023). The role of microbiota in esophageal squamous cell carcinoma: A review of the literature. Thoracic Cancer. 14(28). 2821–2829. 11 indexed citations
5.
6.
Wang, Hao‐Ven, et al.. (2022). Successful Repigmentation of Full-Thickness Wound Healing in Fraser’s Dolphins (Lagenodelphis hosei). Animals. 12(12). 1482–1482. 2 indexed citations
7.
Harn, Hans I‐Chen, Yung‐Chih Lai, Chia‐Ching Wu, et al.. (2022). Topological Distribution of Wound Stiffness Modulates Wound-Induced Hair Follicle Neogenesis. Pharmaceutics. 14(9). 1926–1926. 6 indexed citations
8.
Hsueh, Yuan‐Yu, Shyh‐Jou Shieh, Chia‐Ching Wu, et al.. (2019). Regeneration of rete ridges in Lanyu pig (Sus scrofa): Insights for human skin wound healing. Experimental Dermatology. 28(4). 472–479. 15 indexed citations
9.
Hughes, Michael W., Ting-Xin Jiang, Maksim V. Plikus, et al.. (2018). Msx2 Supports Epidermal Competency during Wound-Induced Hair Follicle Neogenesis. Journal of Investigative Dermatology. 138(9). 2041–2050. 21 indexed citations
10.
Chu, Ching-Lin, et al.. (2017). 271 The role of local and systemic leptin in androgenetic alopecia. Journal of Investigative Dermatology. 137(5). S46–S46.
11.
Shih, Yao‐Hsiang, Sheng‐Feng Tsai, Shu-Hsien Huang, et al.. (2016). Hypertension impairs hippocampus-related adult neurogenesis, CA1 neuron dendritic arborization and long-term memory. Neuroscience. 322. 346–357. 34 indexed citations
12.
Chang, Ya‐Ju, Yuan‐Yu Hsueh, Chia-Wei Huang, et al.. (2016). Assembling Composite Dermal Papilla Spheres with Adipose-derived Stem Cells to Enhance Hair Follicle Induction. Scientific Reports. 6(1). 26436–26436. 44 indexed citations
13.
Hsu, Chao‐Kai, Chao‐Chun Yang, Julia Yu-Yun Lee, et al.. (2015). Non-invasive evaluation of therapeutic response in keloid scar using diffuse reflectance spectroscopy. Biomedical Optics Express. 6(2). 390–390. 33 indexed citations
14.
Chen, Chih-Chiang, Lei Wang, Maksim V. Plikus, et al.. (2015). Organ-Level Quorum Sensing Directs Regeneration in Hair Stem Cell Populations. Cell. 161(2). 277–290. 186 indexed citations
15.
Hughes, Michael W., Ting-Xin Jiang, Sung‐Jan Lin, et al.. (2013). Disrupted Ectodermal Organ Morphogenesis in Mice with a Conditional Histone Deacetylase 1, 2 Deletion in the Epidermis. Journal of Investigative Dermatology. 134(1). 24–32. 29 indexed citations
16.
Lin, Sung‐Jan, Chih-Chiang Chen, Mingxing Lei, et al.. (2013). Therapeutic strategy for hair regeneration: hair cycle activation, niche environment modulation, wound-induced follicle neogenesis, and stem cell engineering. Expert Opinion on Biological Therapy. 13(3). 377–391. 68 indexed citations
17.
Barone, Angelo A. Leto, Michael W. Hughes, Ryan S. Park, et al.. (2012). Lentiviral Transduction of Face and Limb Flaps. Plastic & Reconstructive Surgery. 129(2). 391–400. 5 indexed citations
18.
Wu, Ping, Lianhai Hou, Maksim V. Plikus, et al.. (2004). Evo-Devo of amniote integuments and appendages.. The International Journal of Developmental Biology. 48(2-3). 249–270. 164 indexed citations
19.
Hughes, Michael W. & Cheng‐Ming Chuong. (2003). A Mouthful of Epithelial–Mesenchymal Interactions. Journal of Investigative Dermatology. 121(6). vii–viii. 8 indexed citations
20.
Suksaweang, Sanong, et al.. (2003). Morphogenesis of chicken liver: identification of localized growth zones and the role of β-catenin/Wnt in size regulation. Developmental Biology. 266(1). 109–122. 94 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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